Neural Networks Are Changing How We Think and Speak: Scientists' Conclusions

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Neural networks are changing the way we think and speak: conclusions of scientists

Similar changes may also occur in the field of language. Psychologist Lev Vygotsky emphasized in the early 20th century that speech and cognitive activity develop in parallel and are closely related to each other. Language not only expresses already existing thoughts but also contributes to their formation.
When we receive words "ready-made" from neural networks, the connection between words and their meanings begins to weaken. As a result, we stop actively formulating our thoughts and become more like commentators than authors. In the educational sphere, students increasingly use generative artificial intelligence to write essays, summarize books, and quickly solve problems. Educators are beginning to notice that such students create grammatically correct texts but demonstrate a lack of understanding of the content.

A systematic review conducted in 2024 showed that excessive reliance on AI negatively affects cognitive abilities. A study involving 285 students from Pakistan and China revealed that the use of AI leads to indecisiveness and laziness in people. Experts note: "AI performs routine tasks automatically, which hinders memorization and the use of analytical skills."

When we rely on AI to solve cognitive tasks, we do not train our brains, which can reflect on our language and cognitive abilities.

Neurolinguist Michel Paradis argues that the loss of language skills occurs due to a lack of stimulation. According to Vygotsky's theory, language is not just a container for ideas but also shapes the environment in which these ideas develop. A child enters the world without words, and it is language that allows them to understand the surrounding reality.

The impact of AI on language and communication extends beyond the educational system. Control over the digital language infrastructure allows for the regulation of the boundaries of imagination and discussions. Delegating language to algorithms means relinquishing not only personal communication but also one's sovereignty, the ability to shape one's perception of the world.

However, this does not mean that AI should be completely rejected. For individuals who already possess a deep understanding of language, such tools can be useful assistants. It is essential to maintain the ability to independently create meaning through one's own search for words.
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